DBMS > Prometheus vs. RRDtool

System Properties Comparison Prometheus vs. RRDtool

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Editorial information provided by DB-Engines
Name	Prometheus  Xexclude from comparison	RRDtool  Xexclude from comparison
Description	Open-source TimeSeries DBMS and monitoring system	Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. The data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database model	Time Series DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 6.32 Rank #67   Overall #3   Time Series DBMS	Score 2.43 Rank #116   Overall #7   Time Series DBMS
Website	prometheus.io	oss.oetiker.ch/­rrdtool
Technical documentation	prometheus.io/­docs	oss.oetiker.ch/­rrdtool/­doc
Developer		Tobias Oetiker
Initial release	2015	1999
Current release		1.7.2, May 2019
License Commercial or Open Source	Open Source Apache 2.0	Open Source GPL V2 and FLOSS
Cloud-based only Only available as a cloud service	no	no
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Implementation language	Go	C Implementations in Java (e.g. RRD4J) and C# available
Server operating systems	Linux Windows	HP-UX Linux
Data scheme	yes	yes
Typing predefined data types such as float or date	Numeric data only	Numeric data only
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no Import of XML data possible	no Exporting into and restoring from XML files possible
Secondary indexes	no	no
SQL Support of SQL	no	no
APIs and other access methods	RESTful HTTP/JSON API	in-process shared library Pipes
Supported programming languages	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby	C with librrd library C# with a different implementation of RRDTool Java with a different implementation of RRDTool JavaScript (Node.js) with a different implementation of RRDTool Lua Perl PHP with a wrapper library Python Ruby
Server-side scripts Stored procedures	no	no
Triggers	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes by Federation	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no
Consistency concepts Methods to ensure consistency in a distributed system	none	none
Foreign keys Referential integrity	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no
Concurrency Support for concurrent manipulation of data	yes	yes by using the rrdcached daemon
Durability Support for making data persistent	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes
User concepts Access control	no	no
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